Document Detail

An analysis of human motion detection systems use during elder exercise routines.
MedLine Citation:
PMID:  20185803     Owner:  NLM     Status:  MEDLINE    
Human motion analysis provides motion pattern and body pose estimations. This study integrates computer-vision techniques and explores a markerless human motion analysis system. Using human-computer interaction (HCI) methods and goals, researchers use a computer interface to provide feedback about range of motion to users. A total of 35 adults aged 65 and older perform three exercises in a public gym while human motion capture methods are used. Following exercises, participants are shown processed human motion images captured during exercises on a customized interface. Standardized questionnaires are used to elicit responses from users during interactions with the interface. A matrix of HCI goals (effectiveness, efficiency, and user satisfaction) and emerging themes are used to describe interactions. Sixteen users state the interface would be useful, but not necessarily for safety purposes. Users want better image quality, when expectations are matched satisfaction increases, and unclear meaning of motion measures decreases satisfaction.
Gregory L Alexander; Timothy C Havens; Marilyn Rantz; James Keller; Carmen Casanova Abbott
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Western journal of nursing research     Volume:  32     ISSN:  1552-8456     ISO Abbreviation:  West J Nurs Res     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-02-26     Completed Date:  2010-06-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7905435     Medline TA:  West J Nurs Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  233-49     Citation Subset:  IM; N    
Sinclair School of Nursing, University of Missouri, S415, Columbia, MO 65211, USA.
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MeSH Terms
Self Efficacy

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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